Luc Canard

854 citations
9 papers · 684 · h-index 7

Impact in

    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • Genomics and Phylogenetic Studies
    • Machine Learning in Bioinformatics
    • Glycosylation and Glycoproteins Research
    • Bioinformatics and Genomic Networks
    • Enzyme Structure and Function

Papers in

    • Protein Structure and Dynamics 5
    • Machine Learning in Bioinformatics 2
    • Genomics and Phylogenetic Studies 2
    • Bioinformatics and Genomic Networks 2
    • Biomedical Text Mining and Ontologies 1
    • Enzyme Structure and Function 4

Luc Canard

9 papers receiving 670 citations

Peers

Luc Canard
Comparison fields: 5 of 93
  • Molecular Biology 513
  • Materials Chemistry 174
  • Biological Psychiatry 9
  • Virology 16
  • Cell Biology 54
Replace Hédi Hegyi with:
Hédi Hegyi Hungary
Kimberly A. Reynolds United States
Peter Sheffield United States
Renato Bruni United States
Cesira de Chiara United Kingdom
Paolo Natalini Italy
Ágnes Tóth-Petróczy Germany
Takashi Tadokoro Japan
Valentín Iglesias Spain
Mary Marfori Australia
Luc Canard relative to Hédi Hegyi Hungary Hédi Hegyi's profile →
Citations per field
00.5×1.5×2.3×
Hédi Hegyi · 1×
Citations per year

Countries citing papers authored by Luc Canard

Since Specialization
Citations

This map shows the geographic impact of Luc Canard's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Luc Canard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luc Canard more than expected).

Fields of papers citing papers by Luc Canard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luc Canard. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Luc Canard. The network helps show where Luc Canard may publish in the future.

Co-authors

The 25 scholars most cited alongside Luc Canard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Luc Canard Line = papers co-authored together Luc Canard links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1997414
2 199687
3 199761
4 201738
5 201538
6 200322
7 199718
8
Analysis, clustering and prediction of the conformation of short and medium size loops connecting regular secondary structures.
19965
9 20221

About Luc Canard

Luc Canard is a scholar working on Molecular Biology, Materials Chemistry, Spectroscopy, Information Systems and Management and Oncology, having authored 9 papers that have together received 684 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), Enzyme Structure and Function (4 papers), Machine Learning in Bioinformatics (2 papers), Genomics and Phylogenetic Studies (2 papers), Bioinformatics and Genomic Networks (2 papers), Molecular spectroscopy and chirality (1 paper), Computational Drug Discovery Methods (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in Molecular Biology (513 citations), Materials Chemistry (174 citations), Biological Psychiatry (9 citations), Virology (16 citations) and Cell Biology (54 citations). Luc Canard has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include J.-P. Mornon, Isabelle Callebaut, Anne Poupon, Patrick Durand, Jacques Chomilier, Bernard Henrissat, Gilles Labesse, Luis Enrique Donate, Tom L. Blundell and Tom L. Blundell. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Nature Reviews Drug Discovery, Journal of Molecular Biology, International Journal of Molecular Sciences and Cellular and Molecular Life Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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